Interview with Dave Scholtz from Sift Science on Gaming Fraud Prevention
summary
Sift claims a machine-learning platform fueled by over a trillion events that detects account abuse, collusion, bonus and affiliate fraud across the player lifecycle. It reports securing $45 billion in gaming transactions and handling nearly 500 billion transactions worldwide, with 75% of the US iGaming market relying on Sift for automated decisions. The stack links to payment and KYC providers, focuses on automated, AI-driven prevention of mass fake-account creation, and emphasizes reducing chargebacks and preserving seamless experiences for high-value players.
AI-written summary · about
related talks
32mHow Top Operators Fight Fraud in Crypto & Gaming
16mMost Effective Tactics to Combat Account and Platform Fraud
35mAI Powered Fraud Detection for Payments & Transactions
24mTop Fraud Trends in Crypto for 2024 and How to Stay Ahead in 2025
16mLeveraging ML to Create a Reliable Anti-Fraud System
26mAI-Powered Fraud Detection in Cloud-Native Digital Payments
40mFighting Financial Crimes as an SRE
28mHow players and operators can lose & recover stolen crypto in iGaming
